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AI 101
Introduction
Welcome to AI 101 (1:51)
Key Terms and Concepts
Artificial Intelligence (4:44)
Machine Learning (2:43)
Deep Learning (3:24)
Neural Network (3:19)
Algorithm (3:04)
Natural Language Processing (NLP) (2:48)
Data Mining (3:01)
Supervised Learning (3:16)
Unsupervised Learning (3:25)
Reinforcement Learning (3:09)
Artificial Neural Networks (ANNs) (3:30)
Overfitting (3:59)
Big Data (3:55)
Computer Vision
Fuzzy Logic (3:00)
Turing Test (2:45)
Cognitive Computing (2:57)
Generative Adversarial Networks (GANs) (3:26)
Black Boxes (2:45)
Robotic Process Automation (RPA) (2:42)
Sentiment Analysis (2:46)
Narrow AI (2:51)
General AI (3:01)
Superintelligent AI (3:16)
Internet of Things (2:26)
Historical Industry Displacement and Destruction Due To Advancing Technology
Overview and Importance of Industry Displacement (1:11)
Horse and Buggy (5:14)
Natural Ice Industry (6:39)
Telegraph (7:11)
Blacksmithing (6:23)
Photography (7:52)
Video Rental Stores (8:20)
Print Media (8:57)
Travel Agencies (10:17)
Postal Services (10:10)
Encyclopedias (9:49)
Case Study: Kodak (7:35)
Case Study: Blockbuster (8:08)
Case Study: IBM (8:43)
Case Study: Netflix (8:14)
Conclusion: Adaptation is Not Optional (2:24)
Understanding AI
Why Study AI? (4:14)
Will Humans Be Replaced by AI? (4:00)
Ethical and Practical Concerns of AI (5:37)
A Brief History of AI (8:03)
AI At Work (8:28)
Who are the Big Players in AI? (10:29)
Top Jobs and Industries Because of AI (12:11)
Most Dangerous Jobs and Industries Because of AI (15:29)
What If I Don't Study AI? (4:43)
A Warning About Transhumanism (6:28)
Most Dangerous Jobs and Industries Because of AI
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